Structural scenario analysis with SVARs

•This paper develops tools for constructing economically meaningful scenarios with structural VARs.•It also proposes a metric to assess and compare their plausibility.•We relate our method to entropic tilting.•We provide a unified treatment of conditional forecasting and structural scenario analysis...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of monetary economics 2021-01, Vol.117, p.798-815
Hauptverfasser: Antolín-Díaz, Juan, Petrella, Ivan, Rubio-Ramírez, Juan F.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:•This paper develops tools for constructing economically meaningful scenarios with structural VARs.•It also proposes a metric to assess and compare their plausibility.•We relate our method to entropic tilting.•We provide a unified treatment of conditional forecasting and structural scenario analysis.,•A careful treatment of uncertainty makes our methods suitable for density forecasting and risk assessment.•Two applications illustrate our methods: assessing interest-rate forward guidance and stress-testing bank profitability. Macroeconomists constructing conditional forecasts often face a choice between taking a stand on the details of a fully-specified structural model or relying on correlations from VARs and remaining silent about underlying causal mechanisms. This paper develops tools for constructing economically meaningful scenarios with structural VARs, and proposes a metric to assess and compare their plausibility. We provide a unified treatment of conditional forecasting and structural scenario analysis, relating them to entropic tilting. A careful treatment of uncertainty makes our methods suitable for density forecasting and risk assessment. Two applications illustrate our methods: assessing interest-rate forward guidance and stress-testing bank profitability.
ISSN:0304-3932
1873-1295
DOI:10.1016/j.jmoneco.2020.06.001